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DBMS > Google Cloud Firestore vs. Postgres-XL vs. SwayDB

System Properties Comparison Google Cloud Firestore vs. Postgres-XL vs. SwayDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.32
Rank#52  Overall
#10  Document stores
Score0.70
Rank#206  Overall
#97  Relational DBMS
Score0.02
Rank#341  Overall
#52  Key-value stores
Websitefirebase.google.com/­products/­firestorewww.postgres-xl.orgswaydb.io
Technical documentationfirebase.google.com/­docs/­firestorewww.postgres-xl.org/­documentation
DeveloperGoogleSimer Plaha
Initial release20172014 infosince 2012, originally named StormDB2018
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScala
Server operating systemshostedLinux
macOS
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infodistributed, parallel query executionno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsno
Triggersyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoMVCCAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardno

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More resources
Google Cloud FirestorePostgres-XLSwayDB
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Recent citations in the news

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31 January 2019, TechCrunch

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